Abstract: Medical datasets are usually imbalanced, where negative cases severely outnumber positive cases. Therefore, it is essential to deal with this data skew problem when training machine learning ...

Abstract: With the rapid development of semiconductor technology, conventional modeling based on physical equations encounters challenges related to accuracy and development time. The study proposes a ...

As industry continues to explore viable sustainable fuels, hydrogen (H2) has emerged as a front-runner in the alternative ...

Sable Resources Ltd. ("Sable" or the "Company") (TSXV: SAE | OTCQB: SBLRF) is pleased to report the results of a soil ...

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

Global measures indicate that inequality is at a record high – but that's not how most people experience it day to day.

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

KFF’s 2026 tracking poll found that many U.S. adults have heard common vaccine myths, including false claims about MMR, COVID ...

Analysis of hospital samples dating back to the 1970s has revealed how Acinetobacter baumannii—a notoriously stubborn ...

Tianwen-2 asteroid mission closes to within 20 kilometers of Kamoʻoalewa on July 4, 2026 — China‘s first sample-return probe ...

As instruments grow faster, leaders say clinical impact will depend on trust, standards, data, and assays built for real ...